Carlo Ciliberto
Associate Professor in Machine Learning
Studies statistical learning theory, structured prediction and meta-learning, with applications to robotics and computer vision.
Carlo Ciliberto's lab at UCL works on learning theory & optimization. 7 papers since 2023, 4 at top venues, mostly TPAMI and NeurIPS.
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 57%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 2 papers2024 · T1 2
- 2 papers2023 · T1 1
T1 venuesOtherVenues: TPAMI, NeurIPS, TMLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization5 papers
- meta-learning0 papers
- structured0 papers
- studies statistical0 papers
- statistical learning0 papers
Paper list
From the lab homepage.
20253 papers
- —DreamerNav: learning-based autonomous navigation in dynamic indoor environments using world models (opens in a new tab)
- Automation in ConstructionHybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure (opens in a new tab)
- TPAMI (T1)Schedule-Robust Continual Learning (opens in a new tab)
20242 papers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CAToronto
Anthony Bonner
- Generative & foundation models
- USNYU
Sherry Yang
- Generative & foundation models
- USMIT
Patrick Jaillet
- Reinforcement learning
- USUIUC
Ismini Lourentzou
- Robot perception & SLAM
- USUT Austin
Constantine Caramanis
- Learning theory & optimization
- CNZhejiang
Zhenguang Liu
- Trustworthy & safe ML
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.